Aichi Prefecture blends data-driven policy with traditional intuition.
Generative AI is used but not trusted blindly.
Human experience, they say, cannot be replaced.
What happened
Aichi Prefecture's tourism bureau is promoting EBPM (evidence-based policy making) while recognizing that the traditional KKD approach (experience, intuition, courage) remains valuable. The hybrid style of combining both is reportedly increasing.
Why it matters
Since OpenAI announced ChatGPT in November 2022, the tourism industry recognizes the need for generative AI but is still groping for practical uses. The author argues that AI's convincing answers lack real experience, so human judgment remains irreplaceable.
What to watch
The test is whether Aichi’s GEO-optimized website remains the trusted source as AI search behavior evolves—and whether the hybrid EBPM-KKD approach holds. Watch whether the current “optimal” content strategy needs adjustment in a few months.
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The article reflects a shift in Japan's regional tourism administration. After years of promoting EBPM to ground policy in data, officials now acknowledge that the experienced professional's gut feeling still matters. Generative AI models can produce confident answers, but they lack the embodied experience that comes from years of fieldwork. The author, an adviser to Aichi's tourism bureau, stresses that data and AI should not be followed blindly. Instead, the ideal is a hybrid worker who uses evidence and AI but re-examines their outputs against lived experience. This commentary, likely aimed at peers in the industry, also touches on adapting official websites for AI search visibility, an emerging concern for public sector communicators.
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